Open AccessReal-world statistics at two timescales and a mechanism for infant learning of object names
Author(s) -
Elizabeth M. Clerkin,
Linda B. Smith
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2123239119
Subject(s) - referent , object (grammar) , context (archaeology) , psychology , concept learning , cognitive psychology , noun , artificial intelligence , linguistics , computer science , history , philosophy , archaeology
Significance Infants learn mappings between heard names and seen things before their first birthday and before they produce spoken language. Two challenges to explaining this early learning are the immaturity of infant memory systems and the infrequency of any individual object name in the heard language input. We quantified the frequency of visual referents, heard names, and the cooccurrences of referents and names in infant everyday experiences. We discovered statistical patterns at two timescales that align with a cortical mechanism of associative memory formation that supports the rapid formation of durable associative memories from very few experienced cooccurrences.